On the public citation graph

Patient-specific seizure prediction based on heart rate variability and recurrence quantification analysis

https://doi.org/10.1371/journal.pone.0204339

0 signed · 174 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1001/jama.300.4.443-aopenalex-snapshot

Epilepsy: A Comprehensive Textbook

inferredcites →https://doi.org/10.1007/978-3-540-85565-1_35openalex-snapshot

Epileptic Seizure Classification Using Neural Networks with 14 Features

inferredcites →https://doi.org/10.1007/978-3-642-79119-2_1openalex-snapshot

An Overview of Predictive Learning and Function Approximation

inferredcites →https://doi.org/10.1007/bf00994018openalex-snapshot

Support-Vector Networks

inferredcites →https://doi.org/10.1007/bf02345960openalex-snapshot

Forecasting epilepsy from the heart rate signal

inferredcites →https://doi.org/10.1007/s00592-010-0222-4openalex-snapshot

Long-term predictive power of heart rate variability on all-cause mortality in the diabetic population

inferredcites →https://doi.org/10.1007/s11886-013-0424-9openalex-snapshot

Sudden Unexpected Death in Epilepsy or Voodoo Heart: Analysis of Heart/Brain Connections

inferredcites →https://doi.org/10.1016/0010-4825(88)90041-8openalex-snapshot

Fractals and the analysis of waveforms

inferredcites →https://doi.org/10.1016/j.clinph.2007.02.015openalex-snapshot

Combination of EEG and ECG for improved automatic neonatal seizure detection

inferredcites →https://doi.org/10.1016/j.compbiomed.2009.09.001openalex-snapshot

On the discrimination of patho-physiological states in epilepsy by means of dynamical measures

inferredcites →https://doi.org/10.1016/j.jneumeth.2014.05.019openalex-snapshot

An efficient seizure prediction method using KNN-based undersampling and linear frequency measures

inferredcites →https://doi.org/10.1016/j.knosys.2013.02.014openalex-snapshot

Automated EEG analysis of epilepsy: A review

inferredcites →https://doi.org/10.1016/j.medengphy.2008.01.008openalex-snapshot

Predicting termination of atrial fibrillation based on the structure and quantification of the recurrence plot

inferredcites →https://doi.org/10.1016/j.physleta.2016.02.024openalex-snapshot

Evaluation of selected recurrence measures in discriminating pre-ictal and inter-ictal periods from epileptic EEG data

inferredcites →https://doi.org/10.1016/j.seizure.2007.09.002openalex-snapshot

Heart rate variability in children with refractory generalized epilepsy

inferredcites →https://doi.org/10.1016/j.seizure.2010.07.008openalex-snapshot

Cardiac changes in epilepsy

inferredcites →https://doi.org/10.1016/j.seizure.2014.01.025openalex-snapshot

Can heart rate variability in children with epilepsy be used to predict seizures?

inferredcites →https://doi.org/10.1016/j.yebeh.2009.02.035openalex-snapshot

The role of EEG in epilepsy: A critical review

inferredcites →https://doi.org/10.1016/j.yebeh.2011.08.020openalex-snapshot

Heart rate variability measures as biomarkers in patients with psychogenic nonepileptic seizures: Potential and limitations

inferredcites →https://doi.org/10.1016/j.yebeh.2011.08.031openalex-snapshot

An algorithm for seizure onset detection using intracranial EEG

inferredcites →https://doi.org/10.1016/j.yebeh.2013.06.030openalex-snapshot

Peri-ictal ECG changes in childhood epilepsy: Implications for detection systems

inferredcites →https://doi.org/10.1016/s0140-6736(00)03591-1openalex-snapshot

Anticipation of epileptic seizures from standard EEG recordings

inferredcites →https://doi.org/10.1046/j.1528-1157.2003.34702.xopenalex-snapshot

Electrocardiographic Changes at the Onset of Epileptic Seizures

inferredcites →https://doi.org/10.1088/0967-3334/35/8/1607openalex-snapshot

An efficient unsupervised fetal QRS complex detection from abdominal maternal ECG

inferredcites →https://doi.org/10.1088/0967-3334/36/9/1873openalex-snapshot

Heart rate dynamics distinguish among atrial fibrillation, normal sinus rhythm and sinus rhythm with frequent ectopy

inferredcites →https://doi.org/10.1097/00019052-200204000-00008openalex-snapshot

Seizure prediction and the preseizure period

inferredcites →https://doi.org/10.1103/physreve.66.026702openalex-snapshot

Recurrence-plot-based measures of complexity and their application to heart-rate-variability data

inferredcites →https://doi.org/10.1109/cic.1998.731751openalex-snapshot

A multiresolution transform for the analysis of cardiovascular time series

inferredcites →https://doi.org/10.1109/iembs.2009.5333790openalex-snapshot

A micropower support vector machine based seizure detection architecture for embedded medical devices

inferredcites →https://doi.org/10.1109/stsiva.2016.7743357openalex-snapshot

Automatic epileptic seizure prediction based on scalp EEG and ECG signals

inferredcites →https://doi.org/10.1109/tbme.2015.2512276openalex-snapshot

Epileptic Seizure Prediction Based on Multivariate Statistical Process Control of Heart Rate Variability Features

inferredcites →https://doi.org/10.1109/tsmcb.2008.2002909openalex-snapshot

SVMs Modeling for Highly Imbalanced Classification

inferredcites →https://doi.org/10.1111/anec.12565openalex-snapshot

Ultra‐short heart rate variability recording reliability: The effect of controlled paced breathing

inferredcites →https://doi.org/10.1111/epi.13670openalex-snapshot

Operational classification of seizure types by the International League Against Epilepsy: Position Paper of the ILAE Commission for Classification and Terminology

inferredcites →https://doi.org/10.1111/j.1468-1331.2009.02939.xopenalex-snapshot

Periictal heart rate variability analysis suggests long‐term postictal autonomic disturbance in epilepsy

inferredcites →https://doi.org/10.1111/j.1528-1167.2007.01391.xopenalex-snapshot

Social stigma for adults and children with epilepsy

inferredcites →https://doi.org/10.1111/j.1528-1167.2009.02397.xopenalex-snapshot

Definition of drug resistant epilepsy: Consensus proposal by the ad hoc Task Force of the ILAE Commission on Therapeutic Strategies

inferredcites →https://doi.org/10.1111/j.1528-1167.2011.03138.xopenalex-snapshot

Seizure prediction with spectral power of EEG using cost-sensitive support vector machines

inferredcites →https://doi.org/10.1111/j.1528-1167.2011.03361.xopenalex-snapshot

A systematic review and meta‐analysis of heart rate variability in epilepsy and antiepileptic drugs

inferredcites →https://doi.org/10.1111/j.1528-1167.2012.03518.xopenalex-snapshot

Comparison of heart rate variability parameters during complex partial seizures and psychogenic nonepileptic seizures

inferredcites →https://doi.org/10.1136/jnnp.68.2.211openalex-snapshot

Sudden unexpected death in epilepsy: a series of witnessed deaths

inferredcites →https://doi.org/10.1142/s0129065711002808openalex-snapshot

APPLICATION OF RECURRENCE QUANTIFICATION ANALYSIS FOR THE AUTOMATED IDENTIFICATION OF EPILEPTIC EEG SIGNALS

inferredcites →https://doi.org/10.1152/ajpheart.00561.2010openalex-snapshot

Accurate estimation of entropy in very short physiological time series: the problem of atrial fibrillation detection in implanted ventricular devices

inferredcites →https://doi.org/10.1152/jappl.1994.76.2.965openalex-snapshot

Dynamical assessment of physiological systems and states using recurrence plot strategies

inferredcites →https://doi.org/10.1209/0295-5075/4/9/004openalex-snapshot

Recurrence Plots of Dynamical Systems

inferredcites →https://doi.org/10.1212/01.wnl.0000129830.72973.56openalex-snapshot

EKG abnormalities in children and adolescents with symptomatic temporal lobe epilepsy

inferredcites →https://doi.org/10.1212/wnl.0000000000003509openalex-snapshot

Prevalence and incidence of epilepsy

inferredcites →https://doi.org/10.1212/wnl.42.1.50openalex-snapshot

Cardiac rhythm during temporal lobe seizures

inferredcites →https://doi.org/10.1371/journal.pone.0099334openalex-snapshot

Predicting Epileptic Seizures in Advance

inferredcites →https://doi.org/10.22489/cinc.2017.098-282openalex-snapshot

Characterizing Electrocardiographic Changes During Pre-seizure Periods through Temporal and Spectral Features

inferredcites →https://doi.org/10.2307/1271368openalex-snapshot

Statistical Learning Theory

inferredcites →https://doi.org/10.23736/s0022-4707.17.06922-5openalex-snapshot

Poincaré plot analysis of ultra-short-term heart rate variability during recovery from exercise in physically active men

inferredcites →https://doi.org/10.3171/jns.1997.86.2.0226openalex-snapshot

Cerebral blood flow and temporal lobe epileptogenicity

inferredcites →https://doi.org/10.3233/thc-161225openalex-snapshot

Prediction of epileptic seizures based on heart rate variability

inferredcites →https://doi.org/10.3389/fphys.2017.00765openalex-snapshot

Early Seizure Detection Based on Cardiac Autonomic Regulation Dynamics

inferredcites →https://doi.org/10.3390/s19122820openalex-snapshot

Autonomic Nervous System Response during Light Physical Activity in Adolescents with Anorexia Nervosa Measured by Wearable Devices

inferredcites →https://doi.org/10.4149/bll_2017_001openalex-snapshot

Heart rate variability as a biomarker for epilepsy seizure prediction

inferredcites →https://doi.org/10.5152/akd.2013.237openalex-snapshot

Pre-ictal heart rate variability assessment of epileptic seizures by means of linear and non-linear analyses

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4194643openalex-extracted

inferred← citeshttps://doi.org/10.1002/adsr.202300118openalex-snapshot

Recent Developments and Future Directions of Wearable Skin Biosignal Sensors

inferred← citeshttps://doi.org/10.1002/epi4.12854openalex-snapshot

Feasibility of cardiac‐based seizure detection and prediction: A systematic review of non‐invasive wearable sensor‐based studies

inferred← citeshttps://doi.org/10.1002/epi4.13073openalex-snapshot

ECG ‐based epileptic seizure prediction: Challenges of current data‐driven models

inferred← citeshttps://doi.org/10.1007/978-3-031-02078-0_25openalex-snapshot

Artificial Intelligence (AI) in Neurosurgery

inferred← citeshttps://doi.org/10.1007/978-3-031-60196-5_28openalex-snapshot

Using Time Series for Biomedical Signal Processing Under Uncertainties

inferred← citeshttps://doi.org/10.1007/978-3-031-78922-9_4openalex-snapshot

Sparse Stacked Autoencoders for Epileptic Seizure Prediction Using ECG Signals

inferred← citeshttps://doi.org/10.1007/978-3-031-91062-3_1openalex-snapshot

A Bibliographic View on Recurrence Plots and Recurrence Quantification Analyses

inferred← citeshttps://doi.org/10.1007/978-3-031-91992-3_25openalex-snapshot

Features of Stability Analysis of Complex Nonlinear Dynamic Systems in Phase Space

inferred← citeshttps://doi.org/10.1007/978-981-13-8687-9_16openalex-snapshot

Recurrence Quantification Analysis of Electrocardiogram Signals to Recognize the Effect of a Motivational Song on the Cardiac Electrophysiology

inferred← citeshttps://doi.org/10.1007/978-981-16-9605-3_33openalex-snapshot

Epileptic Seizure Prediction Using Geometrical Features Extracted from HRV Signal

inferred← citeshttps://doi.org/10.1007/978-981-19-3949-5_27-1openalex-snapshot

Epilepsy and Prediction Devices

inferred← citeshttps://doi.org/10.1007/978-981-99-7557-0_27openalex-snapshot

Epilepsy and Prediction Devices

inferred← citeshttps://doi.org/10.1007/s00521-020-05542-xopenalex-snapshot

Predicting cardiovascular events with deep learning approach in the context of the internet of things

inferred← citeshttps://doi.org/10.1007/s10309-021-00421-4openalex-snapshot

Automatisierte Anfallsdetektion mit Wearables: Welche Technologien für welche Biosignale?

inferred← citeshttps://doi.org/10.1007/s40998-026-01023-4openalex-snapshot

A Novel Non-Real-Time Algorithm for Epileptic Seizure Prediction Using Features Extracted from Multiple Time Series Derived from the Two-Dimensional Poincaré Plot of RR Intervals

inferred← citeshttps://doi.org/10.1016/b978-0-12-819178-1.00034-4openalex-snapshot

Algorithms for epilepsy monitoring

inferred← citeshttps://doi.org/10.1016/j.artmed.2019.101711openalex-snapshot

Automatic detection of epileptic seizure based on approximate entropy, recurrence quantiﬁcation analysis and convolutional neural networks

inferred← citeshttps://doi.org/10.1016/j.artmed.2025.103228openalex-snapshot

Improving wearable-based seizure prediction by feature fusion using an explainable growing network

inferred← citeshttps://doi.org/10.1016/j.bea.2026.100215openalex-snapshot

Artificial intelligence for epileptic seizure prediction: Toward hybrid, patient-centric, and edge-ready systems

inferred← citeshttps://doi.org/10.1016/j.bspc.2023.105659openalex-snapshot

A new epileptic seizure prediction model based on maximal overlap discrete wavelet packet transform, homogeneity index, and machine learning using ECG signals

inferred← citeshttps://doi.org/10.1016/j.bspc.2024.107083openalex-snapshot

Semi-Supervised anomaly detection for the prediction and detection of pediatric focal epileptic seizures on fused EEG and ECG data

inferred← citeshttps://doi.org/10.1016/j.bspc.2024.107478openalex-snapshot

Joint VMD and PSSVM optimization algorithm for seizure prediction based on ECG signals

inferred← citeshttps://doi.org/10.1016/j.bspc.2026.111064openalex-snapshot

FPGA‐based implementation of convolutional neural network to detect epileptic seizures using electrocardiogram

inferred← citeshttps://doi.org/10.1016/j.cmpb.2024.108378openalex-snapshot

Recurrence quantification analysis of rs-fMRI data: A method to detect subtle changes in the TgF344-AD rat model

inferred← citeshttps://doi.org/10.1016/j.compbiomed.2025.109929openalex-snapshot

Seizure information enrichment in ECG through spectral whitening for improving epileptic seizure prediction

inferred← citeshttps://doi.org/10.1016/j.ebiom.2023.104656openalex-snapshot

Forecasting Seizure Likelihood from Cycles of Self-Reported Events and Heart Rate: A Prospective Pilot Study

inferred← citeshttps://doi.org/10.1016/j.engappai.2025.113717openalex-snapshot

Advances in machine learning for epileptic seizure prediction: A review of electrocardiogram-based approaches

inferred← citeshttps://doi.org/10.1016/j.eplepsyres.2023.107232openalex-snapshot

Can heart rate variability identify a high-risk state of upcoming seizure?

inferred← citeshttps://doi.org/10.1016/j.eplepsyres.2024.107403openalex-snapshot

AI in ECG: Validating an ambulatory semiology labeller and predictor

inferred← citeshttps://doi.org/10.1016/j.eswa.2023.120986openalex-snapshot

Developing a deep canonical correlation-based technique for seizure prediction

inferred← citeshttps://doi.org/10.1016/j.foodres.2024.114611openalex-snapshot

Chemosensory analysis of emotional wines: Merging of explicit and implicit methods to measure emotions aroused by red wines

inferred← citeshttps://doi.org/10.1016/j.heliyon.2022.e11931openalex-snapshot

Improving robotic hand control via adaptive Fuzzy-PI controller using classification of EMG signals

inferred← citeshttps://doi.org/10.1016/j.neucli.2021.10.002openalex-snapshot

Heart rate variability in neonatal seizures: Investigation and implications for management

inferred← citeshttps://doi.org/10.1016/j.yebeh.2019.106456openalex-snapshot

The role of devices in managing risk

inferred← citeshttps://doi.org/10.1016/j.yebeh.2022.108670openalex-snapshot

T-wave heterogeneity crescendo in the surface EKG is superior to heart rate acceleration for seizure prediction

inferred← citeshttps://doi.org/10.1016/j.yebeh.2022.108806openalex-snapshot

Response to letter to the editor by Dr. Guilherme Loureiro Fialho and Dr. Katia Lin: “T-wave heterogeneity in epilepsy: Could we kill two (or three) birds with one stone?”

inferred← citeshttps://doi.org/10.1016/j.yebeh.2025.110689openalex-snapshot

A qualitative study exploring physician perspectives on a cardiac-based seizure prediction digital service for epilepsy management

inferred← citeshttps://doi.org/10.1038/s41598-021-85350-yopenalex-snapshot

Heart rate variability analysis for the identification of the preictal interval in patients with drug-resistant epilepsy

inferred← citeshttps://doi.org/10.1038/s41598-025-34682-0openalex-snapshot

HRV features as potential biomarkers for auxiliary diagnosis in epilepsy

inferred← citeshttps://doi.org/10.1055/s-0040-1702939openalex-snapshot

Predictors of Long-Term Neurodevelopmental Outcome of Hypoxic-Ischemic Encephalopathy Treated with Therapeutic Hypothermia

inferred← citeshttps://doi.org/10.1080/00207454.2022.2106435openalex-snapshot

Epileptic seizure prediction based on features extracted from lagged Poincaré plots

inferred← citeshttps://doi.org/10.1080/15563650.2022.2124919openalex-snapshot

Factors associated with seizure in tramadol overdose: a 12-year retrospective study in Hong Kong

inferred← citeshttps://doi.org/10.1088/1741-2552/adf097openalex-snapshot

Preictal high-connectivity states in epilepsy: evidence of intracranial EEG, interplay with the seizure onset zone and network modeling

inferred← citeshttps://doi.org/10.1088/2057-1976/ad29a3openalex-snapshot

An approach to detect and predict epileptic seizures with high accuracy using convolutional neural networks and single-lead-ECG signal

inferred← citeshttps://doi.org/10.1093/ehjdh/ztaf035openalex-snapshot

Ultra-short-term heart rate variability using a photoplethysmography-based smartphone application: a TeleCheck-AF subanalysis

inferred← citeshttps://doi.org/10.1097/wnp.0000000000000614openalex-snapshot

Changes in Vital Signs During Epileptic and Psychogenic Nonepileptic Attacks: A Video-EEG Study

inferred← citeshttps://doi.org/10.1101/2025.01.28.635212openalex-snapshot

Improving wearable-based seizure prediction by feature fusion using growing network

inferred← citeshttps://doi.org/10.1109/access.2020.3020742openalex-snapshot

Machine Learning Analysis of Heart Rate Variability for the Detection of Seizures in Comatose Cardiac Arrest Survivors

inferred← citeshttps://doi.org/10.1109/access.2025.3583461openalex-snapshot

Identification of Relevant ECG Features for Epileptic Seizure Prediction Using Interpretable Machine Learning

inferred← citeshttps://doi.org/10.1109/access.2026.3698509openalex-snapshot

Learning Ictal HRV Patterns for Seizure Prediction: A Seizure-Centered One-Class Deep Learning Approach

inferred← citeshttps://doi.org/10.1109/acit65614.2025.11185667openalex-snapshot

Information Technology for Stability Analysis of Complex Nonlinear Dynamic Systems Using the Example of a Biological Object

inferred← citeshttps://doi.org/10.1109/bibm47256.2019.8983371openalex-snapshot

Hadoop-EDF: Large-scale Distributed Processing of Electrophysiological Signal Data in Hadoop MapReduce

inferred← citeshttps://doi.org/10.1109/bigdata62323.2024.10825590openalex-snapshot

Privacy-Preserving Federated Interpretability

inferred← citeshttps://doi.org/10.1109/bsn63547.2024.10780713openalex-snapshot

A Multi-Modal Non-Invasive Deep Learning Framework for Progressive Prediction of Seizures

inferred← citeshttps://doi.org/10.1109/cce67728.2025.11272017openalex-snapshot

Spectral Characterization of the Ictal Phase in Epileptic Seizures of Temporal Lobe Using the Wavelet Transform

inferred← citeshttps://doi.org/10.1109/cfis54774.2022.9756421openalex-snapshot

ECG-Based Prediction of Epileptic Seizures Using Machine Learning Methods

inferred← citeshttps://doi.org/10.1109/ci-ibbi54220.2021.9626127openalex-snapshot

Ultra-short-term analysis of heart rate variability for epileptic seizures prediction

inferred← citeshttps://doi.org/10.1109/elnano54667.2022.9927003openalex-snapshot

Prediction of Epileptic Seizures Based on Analysis of Electrical Activity of the Brain and Parameters of Heart Rate Variability

inferred← citeshttps://doi.org/10.1109/embc44109.2020.9175739openalex-snapshot

Unsupervised Clustering of HRV Features Reveals Preictal Changes in Human Epilepsy

inferred← citeshttps://doi.org/10.1109/icears56392.2023.10085324openalex-snapshot

Cardiopulmonary Arrest Detection using Machine Learning

inferred← citeshttps://doi.org/10.1109/iscas66217.2026.11562352openalex-snapshot

Discrete high-gain observer based epileptic seizure prediction by single-lead ECG

inferred← citeshttps://doi.org/10.1109/isce.2019.8900998openalex-snapshot

Epileptic seizures prediction based on the combination of EEG and ECG for the application in a wearable device

inferred← citeshttps://doi.org/10.1109/tai.2026.3658018openalex-snapshot

ECG-Based Seizure Prediction Using Progressive Feature Fusion Mamba

inferred← citeshttps://doi.org/10.1109/wispnet69615.2026.11489453openalex-snapshot

Towards Developing a Wearable Device to Predict Epileptic Seizures Using ECG Signals

inferred← citeshttps://doi.org/10.1111/epi.16485openalex-snapshot

Forecasting cycles of seizure likelihood

inferred← citeshttps://doi.org/10.1111/epi.16541openalex-snapshot

Seizure forecasting and cyclic control of seizures

inferred← citeshttps://doi.org/10.1111/epi.16555openalex-snapshot

Machine learning and wearable devices of the future

inferred← citeshttps://doi.org/10.1111/epi.18021openalex-snapshot

Detection of focal to bilateral tonic–clonic seizures using a connected shirt

inferred← citeshttps://doi.org/10.1111/epi.18034openalex-snapshot

Autonomic biosignals, seizure detection, and forecasting

inferred← citeshttps://doi.org/10.1111/epi.18466openalex-snapshot

Forecasting epileptic seizures with wearable devices: A hybrid short‐ and long‐horizon pseudo‐prospective approach

inferred← citeshttps://doi.org/10.1142/s0129065721500398openalex-snapshot

Seizure Forecasting Using Long-Term Electroencephalography and Electrocardiogram Data

inferred← citeshttps://doi.org/10.1161/jaha.126.050349openalex-snapshot

Prediction of Post–Cardiac Arrest Seizures Using Heart Rate Variability

inferred← citeshttps://doi.org/10.1177/09544119261480774openalex-snapshot

Personalized ECG-based artificial intelligence models for early seizure prediction

inferred← citeshttps://doi.org/10.1371/journal.pdig.0000161openalex-snapshot

Longitudinally tracking personal physiomes for precision management of childhood epilepsy

inferred← citeshttps://doi.org/10.18100/ijamec.1229907openalex-snapshot

Epileptic seizure detection combining power spectral density and high-frequency oscillations

inferred← citeshttps://doi.org/10.21203/rs.3.rs-745726/v1openalex-snapshot

Cardiac and autonomic dysfunctions assessed through Recurrence Quantitative Analysis of electrocardiogram signals and an application to the 6-OHDA Parkinson’s Disease animal model

inferred← citeshttps://doi.org/10.2174/1568026620666200603105002openalex-snapshot

Heart Rate Variability Based Prediction of Personalized Drug Therapeutic Response: The Present Status and the Perspectives

inferred← citeshttps://doi.org/10.22037/aaem.v8i1.723openalex-snapshot

Seizure Prediction Model in Acute Tramadol Poisoning; a Derivation and Validation study.

inferred← citeshttps://doi.org/10.23919/wons60642.2024.10449556openalex-snapshot

SeizNet: An AI-Enabled Implantable Sensor Network System for Seizure Prediction

inferred← citeshttps://doi.org/10.29333/ejgm/14787openalex-snapshot

Corrected QT interval and QT dispersion in temporal lobe epilepsy in children and adolescent

inferred← citeshttps://doi.org/10.3389/fmed.2022.857591openalex-snapshot

Music Modulates Autonomic Nervous System Activity in Human Fetuses

inferred← citeshttps://doi.org/10.3389/fneur.2021.675728openalex-snapshot

Prediction of Seizure Recurrence. A Note of Caution

inferred← citeshttps://doi.org/10.3389/fneur.2021.690404openalex-snapshot

Seizure Diaries and Forecasting With Wearables: Epilepsy Monitoring Outside the Clinic

inferred← citeshttps://doi.org/10.3389/fneur.2021.704060openalex-snapshot

Forecasting Seizure Likelihood With Wearable Technology

inferred← citeshttps://doi.org/10.3389/fneur.2021.740743openalex-snapshot

The Challenging Path to Developing a Mobile Health Device for Epilepsy: The Current Landscape and Where We Go From Here

inferred← citeshttps://doi.org/10.3389/fneur.2025.1555162openalex-snapshot

Neural network-based method for measuring the impacts of epileptic brain activities on cardiac cycles

inferred← citeshttps://doi.org/10.3389/fneur.2026.1780222openalex-snapshot

A systematic review of non-invasive biomarkers for seizure forecasting in pediatric epilepsy patients

inferred← citeshttps://doi.org/10.3389/fnins.2023.1055445openalex-snapshot

The connection between heart rate variability (HRV), neurological health, and cognition: A literature review

inferred← citeshttps://doi.org/10.3389/fphys.2021.725218openalex-snapshot

Cardiac and Autonomic Dysfunctions Assessed Through Recurrence Quantitative Analysis of Electrocardiogram Signals and an Application to the 6-Hydroxydopamine Parkinson’s Disease Animal Model

inferred← citeshttps://doi.org/10.3389/fphys.2023.1227952openalex-snapshot

Automatic epileptic seizure detection based on persistent homology

inferred← citeshttps://doi.org/10.3389/fvets.2022.896030openalex-snapshot

The Prospects of Non-EEG Seizure Detection Devices in Dogs

inferred← citeshttps://doi.org/10.3389/fvets.2026.1891856openalex-snapshot

Owner reported prevalence of autonomic signs in epileptic dogs

inferred← citeshttps://doi.org/10.3390/bios13040478openalex-snapshot

Wearable Sensors to Evaluate Autonomic Response to Olfactory Stimulation: The Influence of Short, Intensive Sensory Training

inferred← citeshttps://doi.org/10.3390/brainsci11081089openalex-snapshot

Heartbeat-Evoked Cortical Potential during Sleep and Interoceptive Sensitivity: A Matter of Hypnotizability

inferred← citeshttps://doi.org/10.3390/e23080931openalex-snapshot

A Modified Multivariable Complexity Measure Algorithm and Its Application for Identifying Mental Arithmetic Task

inferred← citeshttps://doi.org/10.3390/e24091310openalex-snapshot

Evaluation of Geometric Attractor Structure and Recurrence Analysis in Professional Dancers

inferred← citeshttps://doi.org/10.3390/ijerph20065000openalex-snapshot

ECG-Based Semi-Supervised Anomaly Detection for Early Detection and Monitoring of Epileptic Seizures

inferred← citeshttps://doi.org/10.3390/jcm12124098openalex-snapshot

Electrocardiogram Changes in the Postictal Phase of Epileptic Seizure: Results from a Prospective Study

inferred← citeshttps://doi.org/10.3390/jcm13030747openalex-snapshot

Heart Rate Variability as a Tool for Seizure Prediction: A Scoping Review

inferred← citeshttps://doi.org/10.3390/jcm13072065openalex-snapshot

The Interplay of Sports and Nutrition in Neurological Health and Recovery

inferred← citeshttps://doi.org/10.3390/math8122125openalex-snapshot

Wavelet Transform-Statistical Time Features-Based Methodology for Epileptic Seizure Prediction Using Electrocardiogram Signals

inferred← citeshttps://doi.org/10.3390/mca25030045openalex-snapshot

Introducing BisQ, A Bicoherence-Based Nonlinear Index to Explore the Heart Rhythm

inferred← citeshttps://doi.org/10.3390/nu14245198openalex-snapshot

Horticultural Therapy May Reduce Psychological and Physiological Stress in Adolescents with Anorexia Nervosa: A Pilot Study

inferred← citeshttps://doi.org/10.3390/s19122820openalex-snapshot

Autonomic Nervous System Response during Light Physical Activity in Adolescents with Anorexia Nervosa Measured by Wearable Devices

inferred← citeshttps://doi.org/10.3390/s20143987openalex-snapshot

Wearable Epileptic Seizure Prediction System with Machine-Learning-Based Anomaly Detection of Heart Rate Variability

inferred← citeshttps://doi.org/10.3390/s21030770openalex-snapshot

Wearable Sensors for Assessing the Role of Olfactory Training on the Autonomic Response to Olfactory Stimulation

inferred← citeshttps://doi.org/10.3390/s22239372openalex-snapshot

Wearable Epileptic Seizure Prediction System Based on Machine Learning Techniques Using ECG, PPG and EEG Signals

inferred← citeshttps://doi.org/10.3390/s23052458openalex-snapshot

Cross-Domain Transfer of EEG to EEG or ECG Learning for CNN Classification Models

inferred← citeshttps://doi.org/10.3390/s23146578openalex-snapshot

Patient-Specific Preictal Pattern-Aware Epileptic Seizure Prediction with Federated Learning

inferred← citeshttps://doi.org/10.35615/epilia.2020.00157openalex-snapshot

Prospects of Seizure Prediction Technology for Patients with Epilepsy

inferred← citeshttps://doi.org/10.36227/techrxiv.23957625openalex-snapshot

The Open Seizure Database Facilitating Research Into Non-EEG Seizure Detection

inferred← citeshttps://doi.org/10.36227/techrxiv.23957625.v1openalex-snapshot

The Open Seizure Database Facilitating Research Into Non-EEG Seizure Detection

inferred← citeshttps://doi.org/10.36740/wlek201902103openalex-snapshot

PSYCHOLOGICAL FEATURES OF MOTIVATIONAL SPHERE OF DRUG ADDICTS

inferred← citeshttps://doi.org/10.36740/wlek201902104openalex-snapshot

THE PECULIARITIES OF THE HEART RATE VARIABILITY AND ELECTROENCEPHALOGRAM CHANGES IN PATIENTS WITH EPILEPSY AND CARDIOVASCULAR PATHOLOGY

inferred← citeshttps://doi.org/10.70675/ccf65f73z4d9fz4e53z82bbzf30c314d96f6openalex-snapshot

Approche multi-niveaux des modifications précritiques dans l'épilepsie

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.